Top Data & Analytics Jobs in Atlanta, GA

The SQL Support Specialist optimizes performance and data integrity, resolves SQL issues, collaborates on performance enhancements, and develops documentation.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Serve as the bridge between business stakeholders and technical teams to define, prioritize, and deliver data products (dashboards, data models, integrations, reporting, AI features). Gather requirements, write user stories, manage backlog, validate deliverables, support UAT, document data definitions/lineage, and evangelize products to drive adoption and ensure data quality and governance.

The Data Quality Analyst will validate data accuracy, develop automated testing frameworks, analyze discrepancies, and collaborate on data governance with stakeholders.

The Business Data Architect will develop and maintain business architecture models, data strategies, and governance while collaborating with various departments to integrate legal technology and ensure data integrity, supporting business operations and strategic initiatives.

The Claims Data Quality Analyst role involves ensuring data integrity and accuracy, analyzing claims corrections, and collaborating across teams to improve data quality.

The Data Engineer will design, build, and maintain data pipelines and ETL/ELT workflows, optimizing data processes across various platforms while supporting analytics and machine learning use cases.

The Senior Principal Scientist at Alcon leads the development of contact lens materials and processes, utilizing expertise in polymer chemistry and formulation experiments to innovate products that improve vision.

Design and administer BI and DA tools for visualizing workflows and dashboards. Support sales team with system administration and reporting.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.